Subject | RE: [firebird-support] Database design comments |
---|---|
Author | Leyne, Sean |
Post date | 2008-06-13T16:05:36Z |
Luis Carlos,
share the same minimum similarity?
The fact that there are some required common point will significantly
reduce the actual number of brushes that need to be evaluated to find
the similarity.
understanding the nature of the comparisons.
Separately, I'm not clear on the analysis to be performed.
Are you looking to take a brush and then find all similar brushes? Or
Are you looking for the set of brushes which share the same level of
similarity?
Sean
> The similarity is based on 30(could be more) different technical30 Properties is not a problem...
> construction properties like
> * Material (7 classification)
> * Hole type (3 different holes)
> * shoulder type (3)
> * chamfer type
> * insulation type
> * terminal type
> * shape
> So, when comparing brush 1 with brush2, the first one can have a shapeand
> the second one a different shape. So the similarity will be zero.There is
> a set of pre-defined values that must match in order to have a minimumWhat is your estimate of the largest/smallest number of brushes which
> level of similarity (shape,application, both with or without shunt)
share the same minimum similarity?
The fact that there are some required common point will significantly
reduce the actual number of brushes that need to be evaluated to find
the similarity.
> After this minimal set is reached, others comparisons will beperformed
> and the result will be a percentage stored in column similarity at thePlease provide an outline of this "similarity formula", it will help in
> table described.
understanding the nature of the comparisons.
Separately, I'm not clear on the analysis to be performed.
Are you looking to take a brush and then find all similar brushes? Or
Are you looking for the set of brushes which share the same level of
similarity?
Sean